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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A simplified machine learning model utilizing platelet-related genes for predicting poor prognosis in sepsis
|
|---|---|
| Published in |
Frontiers in immunology, November 2023
|
| DOI | 10.3389/fimmu.2023.1286203 |
| Pubmed ID | |
| Authors |
Yingying Diao, Yan Zhao, Xinyao Li, Baoyue Li, Ran Huo, Xiaoxu Han |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 50% |
| Unknown | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 50% |
| Unknown | 1 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 December 2023.
All research outputs
#15,890,477
of 25,604,262 outputs
Outputs from Frontiers in immunology
#15,574
of 32,042 outputs
Outputs of similar age
#160,961
of 360,898 outputs
Outputs of similar age from Frontiers in immunology
#329
of 1,053 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,042 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 360,898 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 1,053 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.